In [1]:
import numpy as np
In [5]:
a=np.ones((5,5))
a
Out[5]:
array([[1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1.]])
In [6]:
a=np.ones((5,5),dtype='int')
a
Out[6]:
array([[1, 1, 1, 1, 1],
[1, 1, 1, 1, 1],
[1, 1, 1, 1, 1],
[1, 1, 1, 1, 1],
[1, 1, 1, 1, 1]])
In [8]:
b=np.zeros((3,3),dtype='int')
b
Out[8]:
array([[0, 0, 0],
[0, 0, 0],
[0, 0, 0]])
In [9]:
a * 255
Out[9]:
array([[255, 255, 255, 255, 255],
[255, 255, 255, 255, 255],
[255, 255, 255, 255, 255],
[255, 255, 255, 255, 255],
[255, 255, 255, 255, 255]])
In [10]:
import matplotlib.pyplot as plt # Library used for visualization
In [11]:
%matplotlib inline
plt.rcParams['figure.figsize'] = 8,3
In [17]:
from PIL import Image #python image library
In [18]:
car_img=Image.open(r'C:\Users\dassa\Downloads\WallPapers\car.jpg')
In [19]:
car_img
Out[19]: